我只需将数据保存到文件中并将其读出然后绘制直方图。然而,虽然我实际上没有改变原始代码,但看起来这个错误。谁能告诉我什么是错的?非常感谢。
这是hist()
的代码f_120 = plt.figure(1)
plt.hist(tfirst_list, bins=6000000, normed = True, histtype ="step", cumulative = True, color = 'g',label = 'first answer')
plt.axvline(x = 30, ymin = 0, ymax = 1, color = 'r', linestyle = '--', label = '30 min')
plt.axvline(x = 60, ymin = 0, ymax = 1, color = 'c', linestyle = '--', label = '1 hour')
plt.legend()
plt.ylabel('Percentage of answered questions')
plt.xlabel('Minutes elapsed after questions are posted')
plt.title('Cumulative histogram: time elapsed \n before questions receive answer (first 2 hrs)')
plt.ylim(0,1)
plt.xlim(0,120)
f_120.show()
f_2640 = plt.figure(2)
plt.hist(tfirst_list, bins=6000000, normed = True, histtype ="step", cumulative = True, color = 'g',label = 'first answer')
plt.axvline(x = 240, ymin = 0, ymax = 1, color = 'r', linestyle = '--', label = '4 hours')
plt.axvline(x = 1440, ymin = 0, ymax = 1, color = 'c', linestyle = '--', label = '1 day')
plt.legend(loc= 4)
plt.ylabel('Percentage of answered questions')
plt.xlabel('Minutes elapsed after questions are posted')
plt.title('Cumulative histogram: time elapsed \n before questions receive answer (first 48)')
plt.ylim(0,1)
plt.xlim(0,2640)
f_2640.show()
错误的全文:
plt.hist(tfirst_list, bins=6000000, normed = True, histtype ="step",
cumulative = True, color = 'b',label = 'first answer')
File "C:\Python26\lib\site-packages\matplotlib\pyplot.py", line 2160, in hist
ret = ax.hist(x, bins, range, normed, weights, cumulative, bottom, histtype,
align, orientation, rwidth, log, color, label, **kwargs)
File "C:\Python26\lib\site-packages\matplotlib\axes.py", line 7606, in hist
raise ValueError("color kwarg must have one color per dataset")
ValueError: color kwarg must have one color per dataset
答案 0 :(得分:14)
这个问题是因为你已经将tfirst_list定义为一个N维数组 例如:
tfirst_list = [1, 2, 3, 4, 5, 6, 7, 8] #works
tfirst_list = [[1, 2, 3, 4], [5, 6, 7, 8]] #produces the Exception you have
如果您使用的是N维数据(N 数据集),那么color
关键字参数(颜色kwarg )也必须是N维的( 每个数据集一种颜色)。例如,对于上述情况:
color = ['b', 'r']
答案 1 :(得分:0)
检查系列的数据类型为numeric
这是我的问题...
df.series.apply(pd.to_numeric)
答案 2 :(得分:-1)
只需删除颜色属性即可。
删除color = 'r'
和color = 'c'
,一切正常。